At NVIDIA GTC 2024, the RAPIDS team demonstrated new features on NVDashboard v0.10 a dashboard that runs on JupyterLab, for monitoring GPU usage to help maximize the efficiency of GPU resources. We are excited to follow that up by announcing that NVDashboard v0.10 is now available to use. This update introduces a host of improvements, including data streaming through WebSockets for��
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Efficiency is paramount in industrial manufacturing, where even minor gains can have significant financial implications. According to the American Society of Quality, ��Many organizations will have true quality-related costs as high as 15-20% of sales revenue, some going as high as 40% of total operations.�� These staggering statistics reveal a stark reality: defects in industrial applications not��
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The NGC catalog is a hub for GPU-optimized deep learning, machine learning, and HPC applications. With highly performant software containers, pretrained models, industry-specific SDKs, and Jupyter Notebooks, the content helps simplify and accelerate end-to-end workflows. There are new features, software, and updates to help you streamline your workflow and build your solutions faster on NGC.
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Developing AI with your favorite tool, Jupyter Notebooks, just got easier due to a partnership between NVIDIA and Google Cloud. The NVIDIA NGC catalog offers GPU-optimized frameworks, SDKs, pretrained AI models, and example notebooks to help you build AI solutions faster. To further speed up your development workflow, a simplified deployment of this software with the NGC catalog��s new one��
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This post was originally published on the RAPIDS AI blog here. NVDashboard is an open-source package for the real-time visualization of NVIDIA GPU metrics in interactive Jupyter Lab environments. NVDashboard is a great way for all GPU users to monitor system resources. However, it is especially valuable for users of RAPIDS, NVIDIA��s open-source suite of GPU-accelerated data-science��
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The NVIDIA NGC team is hosting a webinar with live Q&A to dive into this Jupyter notebook available from the NGC catalog. Learn how to use these resources to kickstart your AI journey. Register now: NVIDIA NGC Jupyter Notebook Day: Medical Imaging Segmentation. Image segmentation partitions a digital image into multiple segments by changing the representation into something more meaningful��
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The NVIDIA NGC team is hosting a webinar with live Q&A to dive into this Jupyter notebook available from the NGC catalog. Learn how to use these resources to kickstart your AI journey. Register now: NVIDIA NGC Jupyter Notebook Day: Image Segmentation. Image segmentation is the process of partitioning a digital image into multiple segments by changing the representation of an image into��
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The NVIDIA NGC team is hosting a webinar with live Q&A to dive into this Jupyter notebook available from the NGC catalog. Learn how to use these resources to kickstart your AI journey. Register now: NVIDIA NGC Jupyter Notebook Day: Recommender System. Recommender systems deal with predicting user preferences for products based on historical behavior and are widespread in online retail for��
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Data collected on a vast scale has fundamentally changed the way organizations do business, driving demand for teams to provide meaningful data science, machine learning, and deep learning-based business insights quickly. Data science leaders, plus the Dev Ops and IT teams supporting them, constantly look for ways to make their teams productive while optimizing their costs and minimizing��
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